Skill Claude CodeCodex
Run one iteration of proteus memory-summary evolution. Called by metaharness.py.
76 2mo ago A 24 tokens
original MIT
Turn Claude Code into its own Meta-Harness — a skill that evolves the scaffolding around a fixed model (memory, retrieval, context, prompts) via a native propose→score→Pareto loop. Native reimplementation of Meta-Harness (Lee et al. 2026).
Skill Claude CodeCodex
Run one iteration of proteus memory-summary evolution. Called by metaharness.py.
Skill Claude CodeCodex
Run a Meta-Harness-style optimization loop NATIVELY — automatically search over the scaffolding around a FIXED base model (memory, retrieval, context construction, prompt templates, summarization, tool-selection logic) by proposing candidate variants, scoring each on a cheap deterministic eval, and keeping a Pareto…